The document discusses data science skills and development for the energy sector. It describes different data science roles including data engineer, data analyst, statistician, and data scientist. It outlines the data science process of obtaining data, scrubbing/cleaning data, exploring data, modeling data, and interpreting results. Finally, it provides 3 key takeaways: start your transformation journey now, build a portfolio of work, and start small projects that can then scale up.
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Data science skills and development for the energy sector
1. DATA SCIENCE SKILLS AND DEVELOPMENT
FOR THE ENERGY SECTOR
B I G D ATA W E E K 2 0 1 8
Presented by: Dr. Lau Cher Han
Chief Data Scientist
2. Trained data scientists and
engineers for Shell,
Fusionex, Intel, HP, OCBC
DR. LAU CHER HAN
Ph.D. in Machine Learning
Co-founder of iStream, LEAD
and UCAN Technologies
HRDF certified trainer and
MQA Expert Panelist
State advisor for SmartCity
and BDA initiatives
Microsoft Excel Expert World
Champion
Founding director of
MaGIC Academy
Bachelor of IT (Database)
Master of IT (Research)
Worked in Microsoft e-
Research Centre
7. • Loves databases
• Able to handle large scale
processing systems
• Have a diversified
interests of skill sets
Data
Engineer
Engineers by Trade
Data
Analyst
The Detective
Statistician
The Geek
Data
Scientist
The Unicorn
Data Science Role in Industry
• Performs data analyses
• Strong ‘figure-it-out’
mindset
• Understand business
operations well
• Understand all of the
above
• Baby curiosity
• Handle and manage data
science project
independently
• Analyze quantitative and
qualitative data
• Strong with mathematical
theories and statistical
methods
• Logical thinking mindset
9. OBTAIN SCRUB EXPLORE MODEL INTERPRET
Gather data from relevant data
sources.
Pre-process data to clean format
that machine understands
Find significant patterns and
trends using statistical methods
Construct and train models to
predict and forecast
Put the results into good use
O S E M N
Data Science Process
10. OBTAIN SCRUB EXPLORE MODEL INTERPRET
Data Science Process
Data Engineer Data Analyst Statistician
Data Scientist